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ds

Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and…

Plugin bundle · by Andika Rachman

About

ds is a plugin bundle for AI coding tools published by Andika Rachman. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-14 and have recorded no change since. As of our marketplace pass on 2026-10-15.

In its own words, on Community GitHub marketplaces:

Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and knowledge compounding.

What it asks for

  • Runs remotely

None of the marketplaces we read publishes its tools or the settings it asks for.

What it declares, asks for and runs, in full

Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.

Works with

  • Claude Code

From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.

Connect

Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.

As a Claude Code plugin

Built from what Community GitHub marketplaces declares.

Claude CodeInside a Claude Code session
/plugin marketplace add andikarachman/data-science-plugin
/plugin install ds@data-science-plugin

Where it is published

MarketplaceStatusVersionFiguresVerifiedFirst seen
Community marketplace andikarachman/data-science-plugin (Open the source on GitHub) Listed 2.6.0 Forks (GitHub): 2
Stars (GitHub): 14
Not marked

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

Listed in one community marketplace
MarketplaceRepositoryStars (GitHub)
data-science-plugin andikarachman/data-science-plugin 14

Which marketplaces we read and how we check them

What the bundle contains

As published on Community GitHub marketplaces.

MCP servers: 1

  • context7

Skills: 19

  • aeon
  • data-preprocessing
  • data-quality-frameworks
  • eda-checklist
  • experiment-tracking
  • exploratory-data-analysis
  • matplotlib
  • model-card
  • pandas-pro
  • polars
  • reproducibility-checklist
  • scikit-learn
Show the remaining 7
  • setup
  • shap
  • split-strategy
  • statistical-analysis
  • statsmodels
  • target-leakage-detection
  • tuning-hyperparameters

Commands: 8

  • compound
  • eda
  • experiment
  • plan
  • preprocess
  • review
  • ship
  • validate

What changed

  1. Became a product we track
  2. Community GitHub marketplaces: appeared

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Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.

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Where the data comes from: how the catalog is built